Podcast
Questions and Answers
R. 1957 introduced the ______ Space Model for Words and Documents.
R. 1957 introduced the ______ Space Model for Words and Documents.
Vector
According to Firth, J.R., the study of meaning and context should be ______ to linguistics.
According to Firth, J.R., the study of meaning and context should be ______ to linguistics.
central
The word 'bank' has multiple meanings and is an example of a ______ word.
The word 'bank' has multiple meanings and is an example of a ______ word.
polysemous
In the Vector Space Model, a word can be represented as a ______ vector.
In the Vector Space Model, a word can be represented as a ______ vector.
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The meaning of a word can be understood by its ______ with other words in a sentence.
The meaning of a word can be understood by its ______ with other words in a sentence.
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The relationship between words 'small' and 'little' is an example of ______ relationships.
The relationship between words 'small' and 'little' is an example of ______ relationships.
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The Vector Space Model is a type of ______ semantics.
The Vector Space Model is a type of ______ semantics.
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Inheritance relationships exist between words with similar meanings, such as 'strong' and ______.
Inheritance relationships exist between words with similar meanings, such as 'strong' and ______.
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The phrase 'You shall know a word by the ______ it keeps' emphasizes the importance of context in understanding word meaning.
The phrase 'You shall know a word by the ______ it keeps' emphasizes the importance of context in understanding word meaning.
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The Vector Space Model represents words as points in a high-dimensional ______ space.
The Vector Space Model represents words as points in a high-dimensional ______ space.
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Study Notes
Vector Space Model for Words and Documents
- Words can be represented as vectors in a high-dimensional space, capturing their semantic relationships.
- Synonyms can be represented on a single axis, whereas inheritance relationships (is-a) and compositional relationships (has-a) can be represented as vectors.
Relationships among Terms
- Synonyms: words with similar meanings can be represented on a single axis.
- Is-a Vector: inheritance relationships of words can be represented as vectors.
- Has-a Vector: compositional relationships of words can be represented as vectors.
Ideal Properties of Word Vectors
- Reduce word-vector space into a smaller sub-space.
- Encode the relationship among words.
- Identify similar words using laws of similarity, contiguity, contrast, and frequency.
- Extract semantic information.
- Represent polysemous words.
Document Vector Space Model
- Vector space models are used to represent words in a continuous vector space.
- Combination of terms represents a document vector in the word vector space.
- Document-term matrix is a high-dimensional space representing terms and documents.
Binary Incidence Matrix
- Represent words as vectors in a 3-D vector space.
- The matrix consists of 1s and 0s, indicating the presence or absence of a word in a document.
Contextual Understanding of Words
- The study of meaning and context should be central to linguistics.
- Exploiting the context-dependent nature of words.
- Language patterns cannot be accounted for in terms of a single system.
- The collocation gives enough clue to understand a word and its meaning.
Polysemous Words
- Bank: multiple meanings, such as sloping land, financial institution, a flight maneuver, and more.
- Program: multiple meanings, such as a plan, a system of projects, a broadcast, a course of study, and more.
Synonyms
- Small: minor, humble, little, belittled.
- Potent: impregnable, strong, stiff.
- Solid: strong, substantial, firm.
- Strong: warm, firm.
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Description
Understand the concepts of Vector Space Model, including representing synonyms and inheritance relationships of words as vectors. Learn how to visualize and analyze relationships among terms in a high-dimensional space.
